More Open Source at the LMS: To globally provide our open-source software, we operate our own Gitlab-server, where a large part of our software products are publicly available. In this month's news, we would like to draw your attention to P...
Open Science at the LMS: Next to the publication of Open-Source code (see news from Mach 2022), we also publish a large part of our research as Open Access or as a preprint on platforms such as arXive.org.
More Open Source at the LMS: To globally provide our open-source software, we operate our own Gitlab-server, where a large part of our software products are publicly available. In this month's news, we would like to draw your attention to PADIS, "Probabilistic Approach to Dynamic Image Sampling", wh...
In the past decade, deep learning (DL) algorithms have gained increasing popularity in many areas of signal processing and communications and managed to solve tasks which were previously considered infeasible. However, classical model-based approaches such as nonnegative matrix factorization, the Ka...
Open Science at the LMS: Next to the publication of Open-Source code (see news from Mach 2022), we also publish a large part of our research as Open Access or as a preprint on platforms such as arXive.org.
We are currently searching for an outstanding Master graduate in electrical engineering (with strong background in signal processing). We offer a full-time position to do research in the field of video processing (pdf here). If you are interested, please send a full application to Dr.-Ing. Christian...
Our colleague Thomas Haubner won a travel grant for his paper "End-To-End Deep Learning-based Adaptation Control for Frequency-Domain Adaptive System Identification" for the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) in Singapore. Congratulations!
LMS for Open Source: In the recent years, the LMS has published a lot of its research and solutions in open-source repositories. Here is a little selection. First, we would like to mention our "Frequency Selective Reconstruction", which can reconstruct missing or faulty parts of an image in a very c...
You are searching for a thesis, a research internship, or you are just interested in the research at our chair? On Monday, February 7th 2.15 pm we will provide an overview on the research at our chair. You can take part live in Hörsaal H16 or online via Zoom. The two pictures are a little teaser: on...
Our chair is facing some major changes in this new year 2022. Unfortunately, two very successful researchers just left us: Alexander Schmidt and Michael Günther. However, we are happy to announce that Anna Meyer and Johannes Zeitler just joined our team. Furthermore, Dr. Gongping Huang will support ...
Endowed with a prestigious Alexander von Humboldt Research Fellowship, Dr. Gongping Huang joined the Chair for Multimedia Communication and Signal Processing. After obtaining a PhD at Northwestern Polytechnic University (NPU) in Xi’an, China, and working at ENST in Montreal, Canada, and Technion, H...
Recently, we had the kick-off for the collaborative research centre (SFB) "Empathokinästhetische Sensorik" (EmpkinS), where the LMS will investigate new methods for contact-free medical sensor technology based on radar and camera data. In particular, we focus our research on the compression of multi...
In October, we had the first opportunity to present our latest research in person on an international conference since the beginning of the pandemic. Three colleagues traveled to Finland to take part in the 23rd Workshop on Multimedia Signal Processing (MMSP).
The results from the exam in Image, Video, and Multidimensional Signal Processing from 14.10.2021are now available via meinCampus. Please contact Andreas Spruck until 15.11.2021 for the inspection of the exam.
Walter Kellermann has been re-elected for a second three-year term as a voting member of the Sensor Array and Multichannel Technical Committee (SAM-TC) of the IEEE Signal Processing Society.
In this paper, we propose a novel end-to-end neural network to reconstruct high resolution images from non-regularly sampled sensor data. The network is a concatenation of a locally fully connected reconstruction network (LFCR) and a standard VDSR network. Altogether, using a three-quarter sampling...
We propose faster consistency checking methods as well as a novel recursive FSR that uses the projected pixels different than in literature and can handle dynamic masks.
Altogether, we are able to significantly increase the reconstruction quality by +1.01 dB compared to the state-of-the-art recursi...
After more than one year, we finally opened our premises for students! This means that from now on, students may use the PCs in the student's lab on the 5th floor and in the lab room on the 6th floor. In addition, we hope to be able to have live lectures again in the lecture hall on the 5th floor be...
In July, we hopefully finished the last semester under Corona conditions. We really hope and wish that in the next semester, we can welcome you, the students, back at our chair and in our lectures!
Additionally, as a special activity, we would like to mention that we actively took part in the las...
From now on, there will be a regular post on the latest news from the LMS. In this first post we report from our activites on international conferences and we say hello to our new co-workers.
Although we are still in times of a pandemic, we visited various conferences in June. We virtually took p...
We propose a novel viewport-adaptive motion compensation technique for fisheye video that reaches average gains of +2.40 dB in terms of PSNR compared to the state of the art in fisheye motion compensation. These gains are achieved by respresenting motion on different motion planes in 3D space.
